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The Hidden Burden of Mortality Across the Spectrum of ICD-10 Conditions in Australia: A Multiple Cause of Death Analysis

Farquhar, H. L.

2026-02-09 epidemiology
10.64898/2026.02.07.26345820 medRxiv
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BackgroundDeath certificates record both an underlying cause and contributing conditions, yet mortality statistics predominantly report only the underlying cause. We quantify this "hidden burden" across all ICD-10 conditions in Australian mortality data using the multiple-to-underlying ratio (MUR): total death certificate mentions divided by underlying cause deaths. MethodsWe analysed Australian Bureau of Statistics Causes of Death 2023 data (N = 187,268 registered deaths) to compute the ratio for all ICD-10 conditions. Three pre-registered confirmatory hypotheses tested sex differences in hypertension and mental health ratios, and geographic variation by preventability, with Holm-Bonferroni correction. ResultsDeath certificates recorded an average of 3.5 causes per decedent, meaning the underlying cause captures only [~]29% of recorded morbidity. Of 663 conditions with [≥]10 underlying cause deaths, the ratio ranged from 1.0 (external causes) to 281.1, with a median of 2.5. Among conditions with stable estimates ([≥]50 underlying deaths), the highest ratio was 94.3 (complications of medical care). Age explained only 10.9% of ratio variation (R2 = 0.109), and no top-ranked conditions were identified as primarily age-driven, suggesting the ratio ranking is robust to age confounding. However, external validation using US CDC data showed age standardisation materially changed absolute ratio values for 6 of 8 cause groups (divergence 16-34%), with the direction varying by condition rather than following a simple age-concentration pattern. Males showed consistently higher ratios, most strikingly for mental health disorders (62% higher); a counterfactual analysis estimated suicide coding rules explain only 6-15% of this sex difference. Three pre-registered hypotheses were null after correction; H1 and H3 (sex differences) were underpowered (n = 4, n = 8 pairs) with large effect sizes (r = 0.77-0.80), while H2 (geographic variation) showed a clear null. ConclusionsThe hidden burden of mortality in Australia is substantial and unevenly distributed, with symptom codes, mental health conditions, and hypertension most undercounted. The ratio provides a transparent framework for identifying conditions whose health impact is systematically understated by conventional mortality reporting.

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